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@inproceedings{ WOS:000812286900309,
Author = {Gao, Chuanxiang and Zhai, Yu and Wang, Biao and Chen, Ben M.},
Book-Group-Author = {IEEE},
Title = {Synthesis and Online Re-planning Framework for Time-Constrained Behavior
   Tree},
Booktitle = {2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS
   (IEEE-ROBIO 2021)},
Year = {2021},
Pages = {1896-1901},
Note = {IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO),
   Sanya, PEOPLES R CHINA, DEC 27-31, 2021},
Organization = {IEEE; IEEE Robot \& Automat Soc; Chiba Inst Technol; Nankai Univ; Texas
   State Univ; Nokov; NE Univ},
Abstract = {Currently, there are some works on automatically generating behavior
   trees, but they rarely consider task completion efficiency. In this
   paper, we first propose a new domain knowledge definition method. In
   addition to making use of the advantages of behavior trees, it also
   considers the time efficiency of the tasks. Furthermore, this paper
   proposes a novel algorithm of automatically generating behavior trees
   with time constraints including construction, simulation, and online
   re-planning. Our method can find the behavior tree with the shortest
   time to complete the tasks. Additionally, it also maintains a good
   reactivity to environmental changes. To illustrate the effectiveness of
   our method, we provide experimental validation in a simulated scenario.},
DOI = {10.1109/ROBIO54168.2021.9739542},
ISBN = {978-1-6654-0535-5},
ResearcherID-Numbers = {Chen, Ben M./L-8791-2019},
ORCID-Numbers = {Chen, Ben M./0000-0002-3839-5787},
Unique-ID = {WOS:000812286900309},
}
